Ground4D resolves temporal conflicts in feedforward 4D Gaussian reconstruction for off-road scenes via voxel-grounded temporal aggregation with intra-voxel softmax and surface normal regularization, outperforming prior methods on ORAD-3D and RELLIS-3D while generalizing zero-shot.
Graph.42, 4 (2023), 139–1
7 Pith papers cite this work. Polarity classification is still indexing.
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2026 7representative citing papers
GEMM-GS converts 3DGS blending into GEMM form to use Tensor Cores, yielding 1.42x speedup over vanilla 3DGS and further gains when stacked with prior accelerators.
MAGS-SLAM is the first monocular multi-agent Gaussian Splatting SLAM system, aligning independently scaled sub-maps with a Sim(3) pose graph and occupancy-aware Gaussian fusion.
The paper proposes ray-aware pointer memory with adaptive retain-or-replace updates to improve long-term stability and pose accuracy in streaming 3D reconstruction.
GaussianHSI uses Voronoi-guided bilateral 2D Gaussian splatting plus a spectral detail enhancement module to perform arbitrary-scale hyperspectral image super-resolution.
AutoAWG generates controllable adverse weather automotive videos via semantics-guided adaptive multi-control fusion and vanishing-point-anchored temporal synthesis from static images, reducing FID by 50% and FVD by 16.1% on nuScenes without first-frame conditioning.
citing papers explorer
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Ground4D: Spatially-Grounded Feedforward 4D Reconstruction for Unstructured Off-Road Scenes
Ground4D resolves temporal conflicts in feedforward 4D Gaussian reconstruction for off-road scenes via voxel-grounded temporal aggregation with intra-voxel softmax and surface normal regularization, outperforming prior methods on ORAD-3D and RELLIS-3D while generalizing zero-shot.
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GEMM-GS: Accelerating 3D Gaussian Splatting on Tensor Cores with GEMM-Compatible Blending
GEMM-GS converts 3DGS blending into GEMM form to use Tensor Cores, yielding 1.42x speedup over vanilla 3DGS and further gains when stacked with prior accelerators.
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MAGS-SLAM: Monocular Multi-Agent Gaussian Splatting SLAM for Geometrically and Photometrically Consistent Reconstruction
MAGS-SLAM is the first monocular multi-agent Gaussian Splatting SLAM system, aligning independently scaled sub-maps with a Sim(3) pose graph and occupancy-aware Gaussian fusion.
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Ray-Aware Pointer Memory with Adaptive Updates for Streaming 3D Reconstruction
The paper proposes ray-aware pointer memory with adaptive retain-or-replace updates to improve long-term stability and pose accuracy in streaming 3D reconstruction.
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Voronoi-guided Bilateral 2D Gaussian Splatting for Arbitrary-Scale Hyperspectral Image Super-Resolution
GaussianHSI uses Voronoi-guided bilateral 2D Gaussian splatting plus a spectral detail enhancement module to perform arbitrary-scale hyperspectral image super-resolution.
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AutoAWG: Adverse Weather Generation with Adaptive Multi-Controls for Automotive Videos
AutoAWG generates controllable adverse weather automotive videos via semantics-guided adaptive multi-control fusion and vanishing-point-anchored temporal synthesis from static images, reducing FID by 50% and FVD by 16.1% on nuScenes without first-frame conditioning.
- Uncertainty-Aware 4D Gaussian Splatting for Monocular Occluded Human Rendering